Evidence map›Paper›PMID 41599899›Full record

Observational studyNutrients2026

Risk Factors for Postnatal Growth Faltering and Undernutrition at Discharge in Very Preterm Infants: A Retrospective Study Applying the ESPGHAN Consensus Definitions.

Isadora Beghetti, Dalila Magno, Ettore Benvenuti, Arianna Aceti, Luigi Tommaso Corvaglia

Abstract readObservational Study
In one paragraph

Observational study in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Isadora BeghettiDepartment of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.ORCID 0000-0003-4819-1830
Dalila MagnoDepartment of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
Ettore BenvenutiDepartment of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
Arianna AcetiDepartment of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.ORCID 0000-0001-9274-985X
Luigi Tommaso CorvagliaDepartment of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.ORCID 0000-0002-8119-7743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostnatal growth failure in very preterm infants remains a major concern in neonatal care and clinical management is complicated by the lack of a standardized definition. This study aims to identify risk factors for growth faltering (GF) and undernutrition (UN) at hospital discharge, defined according to the latest consensus definitions established by the European Society for Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN).

methodsWe conducted a retrospective observational study of 416 preterm infants (gestational age < 32 weeks and/or birth weight < 1500 g). Growth was monitored using the Intergrowth 21st standards. In line with ESPGHAN criteria, GF was defined longitudinally as a weight for age (WFA) z-score decline ≥ 1 SD from birth, while UN was defined cross-sectionally as a WFA or length for age z-score < -2 SD at discharge. Logistic regression models were used to determine independent predictors for both growth phenotypes.

resultsAt discharge, the prevalence of GF and UN was 45.3% and 33.1%, respectively. In infants born without growth restriction (GR), UN was almost entirely driven by GF (89.7%). In contrast, 85.5% of infants born with GR remained undernourished at discharge. Multivariate analysis identified bronchopulmonary dysplasia and higher maximal postnatal weight loss as major independent risk factors for GF, while female sex and human milk feeding at discharge were associated with a lower risk of GF. For infants born with adequate weight, maternal hypertension, extremely low birth weight, and the co-occurrence of GF were the strongest predictors of UN.

conclusionsNearly half of very preterm infants experience significant growth impairment before discharge. By assessing the dynamic process of GF and the static endpoint of UN, we identified distinct clinical trajectories. Standardized ESPGHAN criteria allow for the identification of high-risk "phenotypes"-particularly those with GR at birth or severe neonatal morbidity-enabling more targeted and intensive nutritional management during the critical developmental window.

Indexed as

Infant, PrematureMalnutritionPatient DischargeConsensusCross-Sectional StudiesFemaleGestational AgeHumansInfantInfant, NewbornInfant, Very Low Birth WeightMaleRetrospective StudiesRisk FactorsESPGHANgrowth falteringgrowth restrictionIntergrowth 21stneonatal nutritionpreterm infantsundernutritionVLBW

Identifiers

PMID41599899
PMCPMC12844897

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.